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Olmo 3 7B Think vs Olmo 3 32B Think SFT
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| Olmo 3 7B Think | Olmo 3 32B Think SFT | |
|---|---|---|
| Teikėjas | Allen Institute for AI (Ai2) | Allen Institute for AI (Ai2) |
| Parametrai | 7.3B | 32.2B |
| Konteksto langas | Nepatvirtinta: teikėjas nepagrindė šio teiginio. | Nepatvirtinta: teikėjas nepagrindė šio teiginio. |
| Licencija | apache-2.0 | apache-2.0 |
| Modalumai | text | text |
| Išleidimo data | 2025-11-18 | 2025-11-14 |
| Kalbos | Stipri: en Pakankama: — | Stipri: en Pakankama: — |
| Atvirieji svoriai | taip | taip |
| Užduotys | Mąstymas | Mąstymas |
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Kada naudoti
Olmo 3 7B Think
Stiprybės
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 7.3B parameters it fits on a single accelerator
- the model page lists en
Apribojimai
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 7.3B parameters, the weights fit on a single modest accelerator
Užduotys
Olmo 3 32B Think SFT
Stiprybės
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository
Apribojimai
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 32.2B parameters, self-hosting needs a high-memory accelerator
Užduotys
Užduotys: Mąstymas